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DBMS > Atos Standard Common Repository vs. Datomic vs. eXtremeDB vs. Microsoft Azure AI Search vs. OpenSearch

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. eXtremeDB vs. Microsoft Azure AI Search vs. OpenSearch

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenSearch  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNatively in-memory DBMS with options for persistency, high-availability and clusteringSearch-as-a-service for web and mobile app developmentA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
Time Series DBMS
Search engineSearch engine
Secondary database modelsVector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score16.03
Rank#37  Overall
#4  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comwww.mcobject.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­opensearch-project
opensearch.org
Technical documentationdocs.datomic.comwww.mcobject.com/­docs/­extremedb.htmlearn.microsoft.com/­en-us/­azure/­searchopensearch.org/­docs/­latest
DeveloperAtos Convergence CreatorsCognitectMcObjectMicrosoftAmazon Web Services
Initial release20162012200120152021
Current release17031.0.7075, December 20238.2, 2021V12.5.0, January 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
Implementation languageJavaJava, ClojureC and C++Java
Server operating systemsLinuxAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedAll OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsyesyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnono infosupport of XML interfaces availableno
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLnoSQL-like query language
APIs and other access methodsLDAPRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsClojure
Java
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesnoyes
TriggersyesBy using transaction functionsyes infoby defining eventsnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peershorizontal partitioning / shardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlLDAP bind authenticationnoyes infousing Azure authentication
More information provided by the system vendor
Atos Standard Common RepositoryDatomiceXtremeDBMicrosoft Azure AI SearchOpenSearch
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
The OpenSearch Project offers open source software licensed under Apache License...
» more

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Related products and services
3rd partiesAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Atos Standard Common RepositoryDatomiceXtremeDBMicrosoft Azure AI SearchOpenSearch
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